PacBio RS II sequencing chemistries provide read lengths beyond 20 kb with high consensus accuracy. The long read lengths of P4-C2 chemistry and demonstrated consensus accuracy of 99.999% are ideal for applications such as de novo assembly, targeted sequencing and isoform sequencing. The recently launched P5-C3 chemistry generates even longer reads with N50 often >10,000 bp, making it the best choice for scaffolding and spanning structural rearrangements. With these chemistry advances, PacBio’s read length performance is now primarily determined by the SMRTbell library itself. Size selection of a high-quality, sheared 20 kb library using the BluePippin™ System has been demonstrated to increase the N50 read length by as much as 5 kb with C3 chemistry. BluePippin size selection or a more stringent AMPure® PB selection cutoff can be used to recover long fragments from degraded genomic material. The selection of chemistries, P4-C2 versus P5-C3, is highly dependent on the final size distribution of the SMRTbell library and experimental goals. PacBio’s long read lengths also allow for the sequencing of full-length cDNA libraries at single-molecule resolution. However, longer transcripts are difficult to detect due to lower abundance, amplification bias, and preferential loading of smaller SMRTbell constructs. Without size selection, most sequenced transcripts are 1-1.5 kb. Size selection dramatically increases the number of transcripts >1.5 kb, and is essential for >3 kb transcripts.
A novel analytical pipeline for de novo haplotype phasing and amplicon analysis using SMRT Sequencing technology.
While the identification of individual SNPs has been readily available for some time, the ability to accurately phase SNPs and structural variation across a haplotype has been a challenge. With individual reads of an average length of 9 kb (P5-C3), and individual reads beyond 30 kb in length, SMRT Sequencing technology allows the identification of mutation combinations such as microdeletions, insertions, and substitutions without any predetermined reference sequence. Long- amplicon analysis is a novel protocol that identifies and reports the abundance of differing clusters of sequencing reads within a single library. Graphs generated via hierarchical clustering of individual sequencing reads are used to generate Markov models representing the consensus sequence of individual clusters found to be significantly different. Long-amplicon analysis is capable of differentiating between underlying sequences that are 99.9% similar, which is suitable for haplotyping and differentiating pseudogenes from coding transcripts. This protocol allows for the identification of structural variation in the MUC5AC gene sequence, despite the presence of a gap in the current genome assembly, and can also be used for HLA haplotyping. Clustering can also been applied to identify full length transcripts for the purpose of estimating consensus sequences and enumerating isoform types. Long-amplicon analysis allows for the elucidation of complex regions otherwise missed by other sequencing technologies, which may contribute to the diagnosis and understanding of otherwise complex diseases.
Single Molecule, Real-Time (SMRT) Sequencing holds promise for addressing new frontiers in large genome complexities, such as long, highly repetitive, low-complexity regions and duplication events, and differentiating between transcript isoforms that are difficult to resolve with short-read technologies. We present solutions available for both reference genome improvement (>100 MB) and transcriptome research to best leverage long reads that have exceeded 20 Kb in length. Benefits for these applications are further realized with consistent use of size-selection of input sample using the BluePippin™ device from Sage Science. Highlights from our genome assembly projects using the latest P5-C3 chemistry on model organisms will be shared. Assembly contig N50 have exceeded 6 Mb and we observed longest contig exceeding 12.5 Mb with an average base quality of QV50. Additionally, the value of long, intact reads to provide a no-assembly approach to investigate transcript isoforms using our Iso-Seq Application will be presented.
Third generation single molecule sequencing technology from Pacific Biosciences, Moleculo, Oxford Nanopore, and other companies are revolutionizing genomics by enabling the sequencing of long, individual molecules of DNA and RNA. One major advantage of these technologies over current short read sequencing is the ability to sequence much longer molecules, thousands or tens of thousands of nucleotides instead of mere hundreds. This capacity gives researchers substantially greater power to probe into microbial, plant, and animal genomes, but it remains unknown on how to best use these data. To answer this, we systematically evaluated the human genome and 25 other important genomes across the tree of life ranging in size from 1Mbp to 3Gbp in an attempt to answer how long the reads need to be and how much coverage is necessary to completely assemble their chromosomes with single molecule sequencing. We also present a novel error correction and assembly algorithm using a combination of PacBio and pre-assembled Illumina sequencing. This new algorithm greatly outperforms other published hybrid algorithms.
SMRT Sequencing and assembly of the human microbiome project Mock Community sample – a feasibility project.
While the utility of Single Molecule, Real-Time (SMRT) Sequencing for de novo assembly and finishing of bacterial isolates is well established, this technology has not yet been widely applied to shotgun sequencing of microbial communities. In order to demonstrate the feasibility of this approach, we sequenced genomic DNA from the Microbial Mock Community B of the Human Microbiome Project
SFAF 2014 Presentation Slides: James Gurtowski of Cold Spring Harbor Laboratory (CSHL) shared assembly results for a variety of eukaryotic genomes, including yeast, arabidopsis, and rice.
The assembly of metagenomes is dramatically improved by the long read lengths of SMRT Sequencing. This is demonstrated in an experimental design to sequence a mock community from the Human Microbiome Project, and assemble the data using the hierarchical genome assembly process (HGAP) at Pacific Biosciences. Results of this analysis are promising, and display much improved contiguity in the assembly of the mock community as compared to publicly available short-read data sets and assemblies. Additionally, the use of base modification information to make further associations between contigs provides additional data to improve assemblies, and to distinguish between members within a microbial community. The epigenetic approach is a novel validation method unique to SMRT Sequencing. In addition to whole-genome shotgun sequencing, SMRT Sequencing also offers improved classification resolution and reliability of metagenomic and microbiome samples by the full-length sequencing of 16S rRNA (~1500 bases long). Microbial communities can be detected at the species level in some cases, rather than being limited to the genus taxonomic classification as constrained by short-read technologies. The performance of SMRT Sequencing for these metagenomic samples achieved >99% predicted concordance to reference sequences in cecum, soil, water, and mock control investigations for bacterial 16S. Community samples are estimated to contain from 2.3 and up to 15 times as many species with abundance levels as low as 0.05% compared to the identification of phyla groups.
Single Molecule, Real-Time (SMRT) Sequencing holds promise for addressing new frontiers to understand molecular mechanisms in evolution and gain insight into adaptive strategies. With read lengths exceeding 10 kb, we are able to sequence high-quality, closed microbial genomes with associated plasmids, and investigate large genome complexities, such as long, highly repetitive, low-complexity regions and multiple tandem-duplication events. Improved genome quality, observed at 99.9999% (QV60) consensus accuracy, and significant reduction of gap regions in reference genomes (up to and beyond 50%) allow researchers to better understand coding sequences with high confidence, investigate potential regulatory mechanisms in noncoding regions, and make inferences about evolutionary strategies that are otherwise missed by the coverage biases associated with short- read sequencing technologies. Additional benefits afforded by SMRT Sequencing include the simultaneous capability to detect epigenomic modifications and obtain full-length cDNA transcripts that obsolete the need for assembly. With direct sequencing of DNA in real-time, this has resulted in the identification of numerous base modifications and motifs, which genome-wide profiles have linked to specific methyltransferase activities. Our new offering, the Iso-Seq Application, allows for the accurate differentiation between transcript isoforms that are difficult to resolve with short-read technologies. PacBio reads easily span transcripts such that both 5’/3’ primers for cDNA library generation and the poly-A tail are observed. As such, exon configuration and intron retention events can be analyzed without ambiguity. This technological advance is useful for characterizing transcript diversity and improving gene structure annotations in reference genomes. We review solutions available with SMRT Sequencing, from targeted sequencing efforts to obtaining reference genomes (>100 Mb). This includes strategies for identifying microsatellites and conducting phylogenetic comparisons with targeted gene families. We highlight how to best leverage our long reads that have exceeded 20 kb in length for research investigations, as well as currently available bioinformatics strategies for analysis. Benefits for these applications are further realized with consistent use of size selection of input sample using the BluePippin™ device from Sage Science as demonstrated in our genome improvement projects. Using the latest P5-C3 chemistry on model organisms, these efforts have yielded an observed contig N50 of ~6 Mb, with the longest contig exceeding 12.5 Mb and an average base quality of QV50.
Single Molecule, Real-Time (SMRT) Sequencing provides efficient, streamlined solutions to address new frontiers in plant genomes and transcriptomes. Inherent challenges presented by highly repetitive, low-complexity regions and duplication events are directly addressed with multi- kilobase read lengths exceeding 8.5 kb on average, with many exceeding 20 kb. Differentiating between transcript isoforms that are difficult to resolve with short-read technologies is also now possible. We present solutions available for both reference genome and transcriptome research that best leverage long reads in several plant projects including algae, Arabidopsis, rice, and spinach using only the PacBio platform. Benefits for these applications are further realized with consistent use of size-selection of input sample using the BluePippin™ device from Sage Science. We will share highlights from our genome projects using the latest P5- C3 chemistry to generate high-quality reference genomes with the highest contiguity, contig N50 exceeding 1 Mb, and average base quality of QV50. Additionally, the value of long, intact reads to provide a no-assembly approach to investigate transcript isoforms using our Iso-Seq protocol will be presented for full transcriptome characterization and targeted surveys of genes with complex structures. PacBio provides the most comprehensive assembly with annotation when combining offerings for both genome and transcriptome research efforts. For more focused investigation, PacBio also offers researchers opportunities to easily investigate and survey genes with complex structures.
Heterozygous and highly polymorphic diploid (2n) and higher polyploidy (n > 2) genomes have proven to be very difficult to assemble. One key to the successful assembly and phasing of polymorphic genomics is the very long read length (9-40 kb) provided by the PacBio RS II system. We recently released software and methods that facilitate the assembly and phasing of genomes with ploidy levels equal to or greater than 2n. In an effort to collaborate and spur on algorithm development for assembly and phasing of heterozygous polymorphic genomes, we have recently released sequencing datasets that can be used to test and develop highly polymorphic diploid and polyploidy assembly and phasing algorithms. These data sets include multiple species and ecotypes of Arabidopsis that can be combined to create synthetic in-silico F1 hybrids with varying levels of heterozygosity. Because the sequence of each individual line was generated independently, the data set provides a ‘ground truth’ answer for the expected results allowing the evaluation of assembly algorithms. The sequencing data, assembly of inbred and in-silico heterozygous samples (n=>2) and phasing statistics will be presented. The raw and processed data has been made available to aid other groups in the development of phasing and assembly algorithms.
Unique haplotype structure determination in human genome using Single Molecule, Real-Time (SMRT) Sequencing of targeted full-length fosmids.
Determination of unique individual haplotypes is an essential first step toward understanding how identical genotypes having different phases lead to different biological interpretations of function, phenotype, and disease. Genome-wide methods for identifying individual genetic variation have been limited in their ability to acquire phased, extended, and complete genomic sequences that are long enough to assemble haplotypes with high confidence. We explore a recombineering approach for isolation and sequencing of a tiling of targeted fosmids to capture interesting regions from human genome. Each individual fosmid contains large genomic fragments (~35?kb) that are sequenced with long-read SMRT technology to generate contiguous long reads. These long reads can be easily de novo assembled for targeted haplotype resolution within an individual’s genomes. The P5-C3 chemistry for SMRT Sequencing generated contiguous, full-length fosmid sequences of 30 to 40 kb in a single read, allowing assembly of resolved haplotypes with minimal data processing. The phase preserved in fosmid clones spanned at least two heterozygous variant loci, providing the essential detail of precise haplotype structures. We show complete assembly of haplotypes for various targeted loci, including the complex haplotypes of the KIR locus (~150 to 200 kb) and conserved extended haplotypes (CEHs) of the MHC region. This method is easily applicable to other regions of the human genome, as well as other genomes.
Generating de novo reference genome assemblies for non-model organisms is a laborious task that often requires a large amount of data from several sequencing platforms and cytogenetic surveys. By using PacBio sequence data and new library creation techniques, we present a de novo, high quality reference assembly for the goat (Capra hircus) that demonstrates a primarily sequencing-based approach to efficiently create new reference assemblies for Eukaryotic species. This goat reference genome was created using 38 million PacBio P5-C3 reads generated from a San Clemente goat using the Celera Assembler PBcR pipeline with PacBio read self-correction. In order to generate the assembly, corrected and filtered reads were pre-assembled into a consensus model using PBDAGCON, and subsequently assembled using the Celera Assembly version 8.2. We generated 5,902 contigs using this method with a contig N50 size of 2.56 megabases. In order to generate chromosome-sized scaffolds, we used the LACHESIS scaffolding method to identify cis-chromosome Hi-C interactions in order to link contigs together. We then compared our new assembly to the existing goat reference assembly to identify large-scale discrepancies. In our comparison, we identified 247 disagreements between the two assemblies consisting of 123 inversions and 124 chromosome-contig relocations. The high quality of this data illustrates how this methodology can be used to efficiently generate new reference genome assemblies without the use of expensive fluorescent cytometry or large quantities of data from multiple sequencing platforms.
The goat (Capra hircus) remains an important livestock species due to the species’ ability to forage and provide milk, meat and wool in arid environments. The current goat reference assembly and annotation borrows heavily from other loosely related livestock species, such as cattle, and may not reflect the unique structural and functional characteristics of the species. We present preliminary data from a new de novo reference assembly for goat that primarily utilizes 38 million PacBio P5-C3 reads generated from an inbred San Clemente goat. This assembly consists of only 5,902 contigs with a contig N50 size of 2.56 megabases which were grouped into scaffolds using cis-chromosome associations generated by the analysis of Hi-C sequence reads. To provide accurate functional genetic annotation, we utilized existing RNA-seq data and generated new data consisting of over 784 million reads from a combination of 27 different developmental timepoints/tissues. This dataset provides a tangible improvement over existing goat genomics resources by correcting over 247 misassemblies in the current goat reference genome and by annotating predicted gene models with actual expressed transcript data. Our goal is to provide a high quality resource to researchers to enable future genomic selection and functional prediction within the field of goat genomics.
Arabica coffee, revered for its taste and aroma, has a complex genome. It is an allotetraploid (2n=4x=44) with a genome size of approximately 1.3 Gb, derived from the recent (< 0.6 Mya) hybridization of two diploid progenitors (2n=2x=22), C. canephora (710 Mb) and C. eugenioides (670 Mb). Both parental species diverged recently (< 4.2Mya) and their genomes are highly homologous. To facilitate assembly, a dihaploid plant was chosen for sequencing. Initial genome assembly attempts with short read data produced an assembly covering 1,031 Mb of the C. arabica genome with a contig L50 of 9kb. By implementation of long read PacBio at greater than 50x coverage and cutting-edge PacBio software, a de novo PacBio-only genome assembly was constructed that covers 1,042 Mb of the genome with an L50 of 267 kb. The two assemblies were assessed and compared to determine gene content, chimeric regions, and the ability to separate the parental genomes. A genetic map that contains 600 SSRs is being used for anchoring the contigs and improve the sub-genome differentiation together with the search of sub-genome specific SNPs. PacBio transcriptome sequencing is currently being added to finalize gene annotation of the polished assembly. The finished genome assembly will be used to guide re-sequencing assemblies of parental genomes (C. canephora and C. eugenioides) as well as a template for GBS analysis and whole genome re-sequencing of a set of C. arabica accessions representative of the species diversity. The obtained data will provide powerful genomic tools to enable more efficient coffee breeding strategies for this crop, which is highly susceptible to climate change and is the main source of income for millions of small farmers in producing countries.
Since the advent of Next-Generation Sequencing (NGS), the cost of de novo genome sequencing and assembly have dropped precipitately, which has spurred interest in genome sequencing overall. Unfortunately the contiguity of the NGS assembled sequences, as well as the accuracy of these assemblies have suffered. Additionally, most NGS de novo assemblies leave large portions of genomes unresolved, and repetitive regions are often collapsed. When compared to the reference quality genome sequences produced before the NGS era, the new sequences are highly fragmented and often prove to be difficult to properly annotate. In some cases the contiguous portions are smaller than the average gene size making the sequence not nearly as useful for biologists as the earlier reference quality genomes including of Human, Mouse, C. elegans, or Drosophila. Recently, new 3rd generation sequencing technologies, long-range molecular techniques, and new informatics tools have facilitated a return to high quality assembly. We will discuss the capabilities of the technologies and assess their impact on assembly projects across the tree of life from small microbial and fungal genomes through large plant and animal genomes. Beyond improvements to contiguity, we will focus on the additional biological insights that can be made with better assemblies, including more complete analysis genes in their flanking regulatory context, in-depth studies of transposable elements and other complex gene families, and long-range synteny analysis of entire chromosomes. We will also discuss the need for new algorithms for representing and analyzing collections of many complete genomes at once.